PeopleofSuperintelligence

Researcher

Xinyu Wang

Also known as 王新宇

Xinyu Wang is an AI researcher whose work spans multilingual language processing, multimodal retrieval, language models and research agents. They earned a B.S. and a Ph.D. in ShanghaiTech University's School of Information Science and Technology in 2018 and 2023. Their work includes a multilingual named-entity system that won 10 of 13 MultiCoNER tracks and the SemEval Best System Paper award, the MoRe framework for multimodal entity and relation extraction, and the 2024 OmniSearch planning agent for visual question answering. In 2025, they coauthored the Qwen3 and Tongyi DeepResearch reports and shared project leadership of WebWatcher. As of October 2026, they work at Alibaba Tongyi Lab.

Now at
Alibaba
Badges

Timeline

  1. 2018–2023

    Degrees at ShanghaiTech

    They earn a B.S. in ShanghaiTech University's School of Information Science and Technology in 2018. In 2023, they complete a Ph.D. in ShanghaiTech University's School of Information Science and Technology under Kewei Tu.

  2. 2022

    A SemEval system award

    In 2022, they coauthor DAMO-NLP's knowledge-based system for multilingual named-entity recognition, which wins 10 of 13 MultiCoNER tracks. The paper receives the SemEval Best System Paper award.

  3. 2022

    Multimodal retrieval for extraction

    In 2022, they coauthor MoRe, a multimodal framework for named-entity and relation extraction. Its separate text and image retrieval modules find related knowledge for each input.

  4. 2024

    OmniSearch for visual question answering

    In 2024, they coauthor the paper behind OmniSearch, a self-adaptive planning agent for multimodal retrieval-augmented generation in visual question answering. The agent decomposes complex questions into sub-question chains with retrieval actions.

  5. 2025

    The Qwen3 technical report

    In 2025, they coauthor the Qwen3 Technical Report, which describes a family of large language models with multilingual capabilities.

  6. 2025

    WebWatcher project leadership

    In 2025, they coauthor WebWatcher, a vision-language deep research agent, and are one of its project leaders.

  7. 2025

    Tongyi DeepResearch contributions

    In 2025, they contribute to Tongyi DeepResearch as a core contributor. The report describes an agentic language model designed for long-horizon, deep information-seeking research.

  8. As of October 2026

    Work at Alibaba Tongyi Lab

    As of October 2026, they work at Alibaba Tongyi Lab.

Career

  1. NowAlibabaAI researcher

Education

  1. 2023ShanghaiTech UniversityPh.D.
  2. 2018ShanghaiTech UniversityB.S.

From the biography.

  1. 16% of AI career moves in the 2020s went from a university to a companyIncludes Xinyu Wang. We estimate that 16% of AI career moves in the 2020s went from a university to a company; 29% of moves starting at a university went to a company, and 76% ended the university role.
  2. The Massachusetts Institute of Technology trained or employed 44 of the 187 AI major-prize winners, more than any other universityIncludes Xinyu Wang. The Massachusetts Institute of Technology trained or employed 44 of the 187 AI major-prize winners, more than any other university. We compare doctorate and 5+ year employment links, career timing and current workplaces for 187 major-prize and 1,111 best-paper winners.
  3. Google alumni have founded or led 133 other organizations, more than any other AI labIncludes Alibaba. We estimate that alumni of 17 major AI labs went on to found or lead 350 other organizations, including 226 they founded, and we trace 472 career moves directly between 23 labs since 2010.
  4. Universities (31%) and startups and other companies (25%) employ the largest shares of 2020–2026 entrantsIncludes Alibaba. Among 819 people whose first recorded role started in 2020–2026 and who have a known current organization, 60% work in commercial sectors (25% at startups and other companies, 23% at frontier labs and 13% at big tech, with 9 in two), and 31% work at universities, compared with 66% for earlier entrants.

Sources and credits

Photo: We have no published photo of Xinyu Wang yet. Send us a free-licensed photo.

  1. CV - Xinyu Wang's Site wangxinyu0922.github.io. Checked 22 October 2026.
  2. About me - Xinyu Wang’s Site wangxinyu0922.github.io. Checked 22 October 2026.
  3. SemEval-2022 Awards semeval.github.io. Checked 22 October 2026.
  4. DAMO-NLP at SemEval-2022 Task 11: A Knowledge-based System for Multilingual Named Entity Recognition arxiv.org. Checked 22 October 2026.
  5. Named Entity and Relation Extraction with Multi-Modal Retrieval aclanthology.org. Checked 22 October 2026.
  6. Benchmarking Multimodal Retrieval Augmented Generation with Dynamic VQA Dataset and Self-adaptive Planning Agent arxiv.org. Checked 22 October 2026.
  7. Qwen3 Technical Report arxiv.org. Checked 22 October 2026.
  8. WebWatcher: Breaking New Frontiers of Vision-Language Deep Research Agent arxiv.org. Checked 22 October 2026.
  9. Tongyi DeepResearch Technical Report arxiv.org. Checked 22 October 2026.
  10. Tongyi DeepResearch Technical Report arxiv.org. Checked 22 October 2026.
  11. GitHub - wangxinyu0922/wangxinyu0922 github.com. Checked 22 October 2026.